Triple

T20086925
Position Surface form Disambiguated ID Type / Status
Subject Tita E496159 entity
Predicate sister P14414 FINISHED
Object Rosaura NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rosaura | Statement: [Tita, sister, Rosaura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosaura
Context triple: [Tita, sister, Rosaura]
  • A. Rosaura
    Rosaura is a central character in Pedro Calderón de la Barca’s Spanish Golden Age play "La vida es sueño," whose quest for honor and identity drives much of the drama’s action and themes.
  • B. Rosaura chosen
    Rosaura is a central character in Laura Esquivel’s novel "Like Water for Chocolate," known as Tita’s sister and romantic rival within the story’s intense family and culinary drama.
  • C. Clorinda
    Clorinda is a heroic warrior woman in Torquato Tasso’s epic poem "Gerusalemme liberata," renowned for her valor, tragic fate, and complex relationship with the Christian knight Tancredi.
  • D. Clorinda
    Clorinda is a border city in northeastern Argentina’s Formosa Province, located opposite Asunción, Paraguay, and serving as an important regional commercial and transport hub.
  • E. Rosana
    Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655ba40c8190adea0e271a1249cf completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:12 p.m.